Chun‐Yuan Ting

2.3k total citations
32 papers, 1.7k citations indexed

About

Chun‐Yuan Ting is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chun‐Yuan Ting has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chun‐Yuan Ting's work include Neurobiology and Insect Physiology Research (17 papers), Cancer therapeutics and mechanisms (6 papers) and Retinal Development and Disorders (5 papers). Chun‐Yuan Ting is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Cancer therapeutics and mechanisms (6 papers) and Retinal Development and Disorders (5 papers). Chun‐Yuan Ting collaborates with scholars based in United States, Taiwan and Canada. Chun‐Yuan Ting's co-authors include Chi‐Hon Lee, Jaulang Hwang, Leroy F. Liu, Yong Mao, Shyamal D. Desai, Ian A. Meinertzhagen, Zhiyuan Lu, Tzu‐Yang Lin, Shin-ya Takemura and Jens Rister and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chun‐Yuan Ting

32 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chun‐Yuan Ting United States 22 1.0k 975 305 256 189 32 1.7k
Yves Grau France 20 970 0.9× 1.1k 1.1× 138 0.5× 330 1.3× 49 0.3× 26 1.7k
Audra L. Scully United States 12 864 0.8× 831 0.9× 143 0.5× 256 1.0× 77 0.4× 13 1.5k
Burkhard Poeck Germany 21 917 0.9× 1.2k 1.2× 235 0.8× 428 1.7× 33 0.2× 27 2.0k
Gert O. Pflugfelder Germany 26 1.1k 1.1× 1.8k 1.9× 265 0.9× 634 2.5× 119 0.6× 47 2.8k
Alan D. Shirras United Kingdom 27 889 0.9× 823 0.8× 239 0.8× 478 1.9× 83 0.4× 45 1.8k
Rudy Behnia United States 11 598 0.6× 783 0.8× 128 0.4× 123 0.5× 133 0.7× 16 1.4k
Christine Murphy United Kingdom 20 1.2k 1.1× 1.8k 1.8× 346 1.1× 597 2.3× 79 0.4× 36 3.0k
Michaela Fellner Austria 10 1.1k 1.1× 1.9k 1.9× 162 0.5× 401 1.6× 172 0.9× 16 2.8k
Thomas Raabe Germany 25 710 0.7× 1.4k 1.4× 105 0.3× 249 1.0× 170 0.9× 62 2.3k
Heather Dionne United States 14 862 0.8× 658 0.7× 228 0.7× 357 1.4× 25 0.1× 16 1.7k

Countries citing papers authored by Chun‐Yuan Ting

Since Specialization
Citations

This map shows the geographic impact of Chun‐Yuan Ting's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chun‐Yuan Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Yuan Ting more than expected).

Fields of papers citing papers by Chun‐Yuan Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Yuan Ting. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chun‐Yuan Ting. The network helps show where Chun‐Yuan Ting may publish in the future.

Co-authorship network of co-authors of Chun‐Yuan Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yuan Ting. A scholar is included among the top collaborators of Chun‐Yuan Ting based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Yuan Ting. Chun‐Yuan Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Shu, Chun‐Yuan Ting, & Mary A. Lilly. (2024). The GATOR2 complex maintains lysosomal-autophagic function by inhibiting the protein degradation of MiT/TFEs. Molecular Cell. 84(4). 727–743.e8. 3 indexed citations
2.
Ting, Chun‐Yuan, et al.. (2022). Wdr59 promotes or inhibits TORC1 activity depending on cellular context. Proceedings of the National Academy of Sciences. 120(1). e2212330120–e2212330120. 4 indexed citations
3.
Li, Yan, Pei‐Ju Chen, Tzu‐Yang Lin, et al.. (2021). Neural mechanism of spatio-chromatic opponency in the Drosophila amacrine neurons. Current Biology. 31(14). 3040–3052.e9. 16 indexed citations
4.
5.
Yang, Shu, et al.. (2020). The Rag GTPase Regulates the Dynamic Behavior of TSC Downstream of Both Amino Acid and Growth Factor Restriction. Developmental Cell. 55(3). 272–288.e5. 21 indexed citations
6.
7.
Luo, Jiangnan, et al.. (2016). Wiring dendrites in layers and columns. Journal of Neurogenetics. 30(2). 69–79. 5 indexed citations
8.
Pursley, Randall, Tzu‐Yang Lin, Chun‐Yuan Ting, et al.. (2014). Multiple Redundant Medulla Projection Neurons Mediate Color Vision inDrosophila. Journal of Neurogenetics. 28(3-4). 374–388. 45 indexed citations
9.
Ting, Chun‐Yuan, Philip G. McQueen, Tzu‐Yang Lin, et al.. (2014). Photoreceptor-Derived Activin Promotes Dendritic Termination and Restricts the Receptive Fields of First-Order Interneurons in Drosophila. Neuron. 81(4). 830–846. 53 indexed citations
10.
Wardill, Trevor J., Chun‐Yuan Ting, Cahir J. O’Kane, et al.. (2012). Multiple Spectral Inputs Improve Motion Discrimination in the Drosophila Visual System. Science. 336(6083). 925–931. 90 indexed citations
11.
Takemura, Shin-ya, T. Karuppudurai, Chun‐Yuan Ting, et al.. (2011). Cholinergic Circuits Integrate Neighboring Visual Signals in a Drosophila Motion Detection Pathway. Current Biology. 21(24). 2077–2084. 80 indexed citations
12.
Gao, Shuying, Shin-ya Takemura, Chun‐Yuan Ting, et al.. (2008). The Neural Substrate of Spectral Preference in Drosophila. Neuron. 60(2). 328–342. 213 indexed citations
13.
Yonekura, Shinichi, Lei Xu, Chun‐Yuan Ting, & Chi‐Hon Lee. (2007). Adhesive but not signaling activity of Drosophila N-cadherin is essential for target selection of photoreceptor afferents. Developmental Biology. 304(2). 759–770. 23 indexed citations
14.
Ting, Chun‐Yuan, Tory Herman, Shinichi Yonekura, et al.. (2007). Tiling of R7 Axons in the Drosophila Visual System Is Mediated Both by Transduction of an Activin Signal to the Nucleus and by Mutual Repulsion. Neuron. 56(5). 793–806. 72 indexed citations
15.
Ting, Chun‐Yuan & Chi‐Hon Lee. (2007). Visual circuit development in Drosophila. Current Opinion in Neurobiology. 17(1). 65–72. 48 indexed citations
16.
Shyu, Yu‐Chiau, et al.. (2005). Sumoylation of p45/NF-E2: Nuclear Positioning and Transcriptional Activation of the Mammalian β-Like Globin Gene Locus. Molecular and Cellular Biology. 25(23). 10365–10378. 24 indexed citations
17.
Ting, Chun‐Yuan, et al.. (2005). DrosophilaN-cadherin functions in the first stage of the two-stage layer-selection process of R7 photoreceptor afferents. Development. 132(5). 953–963. 93 indexed citations
18.
Ting, Chun‐Yuan, Tzong-Yueh Chen, Woan‐Yuh Tarn, et al.. (2003). Isodiospyrin as a novel human DNA topoisomerase I inhibitor. Biochemical Pharmacology. 66(10). 1981–1991. 43 indexed citations
19.
Chou, Ting‐Chao, et al.. (2002). Synthesis and biological activity of AHMA-EDTA conjugates. Medicinal Chemistry Research. 11(5). 278–292. 1 indexed citations
20.
Hsu, Chao-Chun, et al.. (2000). Development of DNA delivery system using Pseudomonas exotoxin A and a DNA binding region of human DNA topoisomerase I. Applied Microbiology and Biotechnology. 53(5). 558–567. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026